Stanford University - Mathematical and computational finance

https://mcf.stanford.edu/

Mathematical and Computational Finance

Key takeaways

• 2 year program
• tuition fee $120,000 in total, 6 quarters
• rigorous course works concentrated in computation and financial engineering
• bridge to PhD

 

Program

PROGRAM	TYPE	ENTRY QUARTER	APPLICATION DEADLINE	DECISION DATE
PhD*	All Applicants	Autumn Quarter 2024-25	November 30th, 2023	End of February 2024
MS*	All Applicants	Autumn Quarter 2024-25	January 31st, 2024	End of March 2024

admission only in autumn quarter each year

 

PhD program also provided

• Applications are for autumn quarter admissions only
• Applicants must apply to a specific track (for example, “computational geosciences”) in the application under the academic interest field; the application is only considered for that specific track
• Application can be submitted to one track only (it is Stanford policy that an applicant can submit one application only for admission to a particular term)
• All tracks are designed to be completed in two years
• C.V. is strongly recommended

 

Fees

Total Units	Quarterly Tuition
8-10 units	$13,040
11-18 units	$20,058
each Graduate Engineering unit above 18	$1,337 per unit
1-7 units (Summer only)	$1,304 per unit

Prerequisites/requirements

• transcripts
• GRE - for Fall 2023, not required
• TOEFL
  • Scores must be submitted from a test taken within the last 18 months of the application deadline.

 

Statement of Purpose

Your Statement of Purpose should identify your personal and professional goals. You should also discuss your development to date and your intentions relative to graduate study and life beyond Stanford. The ICME Graduate Admissions Committee reads your statement of purpose with interest because, along with the letters of recommendation, it offers insight into who you are as an individual. Your statement of purpose should not exceed 10MB in either a PDF or Word file.

 

Letters of Recommendation

Three letters of recommendation are required; at least one letter must come from an academic source, however we recommend two. Please have your recommender write candidly about your qualifications, potential to carry on advanced study in the field specified, intellectual independence, capacity for analytical thinking, ability to organize and express ideas clearly, and potential for teaching. Specific examples--that describe such attributes as motivation, intellect, and maturity--are more useful than generalizations.

• Recommendation letters can be submitted up to one week after the application deadline.

 

Curriculum

Students must take 45 units in the following areas:

• Foundational (9 units)
• Programming (9 units)
• Finance electives (9 units)
• Data Science electives (12 units)
• Practical component (6 units)

 

Suggested Specializations

• Financial Mathematics
• Financial Data Science
• Financial Technology
• Financial Markets
• PhD prep

 

CODE	NAME
https://bulletin.stanford.edu/courses/2196651	How to learn Mathematics - New ideas from the science of learning
https://bulletin.stanford.edu/courses/2023541	Vector Calculus for Engineers
https://bulletin.stanford.edu/courses/2256201	Vector Calculus for Engineers, ACE
https://bulletin.stanford.edu/courses/1043151	Ordinary Differential Equations for Engineers
https://bulletin.stanford.edu/courses/2256911	Ordinary Differential Equations for Engineers, ACE
https://bulletin.stanford.edu/courses/1043162	Linear Algebra and Partial Differential Equations for Engineers
https://bulletin.stanford.edu/courses/2016572	Introduction to Probability and Statistics for Engineers
https://bulletin.stanford.edu/courses/2256921	Introduction to Probability and Statistics for Engineers
https://bulletin.stanford.edu/courses/2195782	Introduction to Machine Learning
https://bulletin.stanford.edu/courses/1056641	Introduction to Scientific Computing
https://bulletin.stanford.edu/courses/2226472	Mathematical Population Biology
https://bulletin.stanford.edu/courses/2140171	Introduction to MATLAB
https://bulletin.stanford.edu/courses/2140581	Introduction to Scientific Python
https://bulletin.stanford.edu/courses/2222851	Human-Centered Design Methods in Data Science
https://bulletin.stanford.edu/courses/1048651	Linear Algebra with Application to Engineering Computations
https://bulletin.stanford.edu/courses/1048663	Partial Differential Equations in Engineering
https://bulletin.stanford.edu/courses/1048671	Introduction to Numerical Methods for Engineering
https://bulletin.stanford.edu/courses/2226321	Mathematical Modeling of Biological Systems
https://bulletin.stanford.edu/courses/2068101	Software Development for Scientists and Engineers
https://bulletin.stanford.edu/courses/2120661	Introduction to parallel computing using MPI, openMP, and CUDA
https://bulletin.stanford.edu/courses/2206512	Machine Learning for Computational Engineering.
https://bulletin.stanford.edu/courses/2226441	Analytics Accelerator
https://bulletin.stanford.edu/courses/2234861	Analytics Accelerator Seminar
https://bulletin.stanford.edu/courses/2255431	Applied Data Science
https://bulletin.stanford.edu/courses/2257921	Applications of machine learning to electronic markets
https://bulletin.stanford.edu/courses/2207331	Foundations of Reinforcement Learning with Applications in Finance
https://bulletin.stanford.edu/courses/2109902	Risk Analytics and Management in Finance and Insurance
https://bulletin.stanford.edu/courses/2164442	Introduction to Machine Learning
https://bulletin.stanford.edu/courses/2216121	Introduction to Quantum Computing and Quantum Algorithms
https://bulletin.stanford.edu/courses/2170092	Geometric and Topological Data Analysis
https://bulletin.stanford.edu/courses/2175151	Advanced Topics in Scientific Computing with Julia
https://bulletin.stanford.edu/courses/2084232	Imaging with Incomplete Information
https://bulletin.stanford.edu/courses/1038992	Introduction to Linear Dynamical Systems
https://bulletin.stanford.edu/courses/2237241	Advances in Computing with Uncertainties
https://bulletin.stanford.edu/courses/2159422	Computational Biology: Structure and Organization of Biomolecules and Cells
https://bulletin.stanford.edu/courses/2179551	Computational Modeling in the Cardiovascular System
https://bulletin.stanford.edu/courses/2042921	Master's Research
https://bulletin.stanford.edu/courses/2146711	Advanced MATLAB for Scientific Computing
https://bulletin.stanford.edu/courses/2246981	Computational Symbolic Mathematics
https://bulletin.stanford.edu/courses/2170262	Probability and Stochastic Differential Equations for Applications
https://bulletin.stanford.edu/courses/2058061	First Year Seminar Series
https://bulletin.stanford.edu/courses/2240811	ICME QUALIFYING EXAMS WORKSHOP
https://bulletin.stanford.edu/courses/1057521	Numerical Linear Algebra
https://bulletin.stanford.edu/courses/1173932	Partial Differential Equations of Applied Mathematics
https://bulletin.stanford.edu/courses/2042901	Discrete Mathematics and Algorithms
https://bulletin.stanford.edu/courses/1174062	Computational Methods of Applied Mathematics
https://bulletin.stanford.edu/courses/1045842	Optimization
https://bulletin.stanford.edu/courses/2102132	Stochastic Methods in Engineering
https://bulletin.stanford.edu/courses/2145632	Randomized Algorithms and Probabilistic Analysis
https://bulletin.stanford.edu/courses/1050963	Spectral Methods in Computational Physics
https://bulletin.stanford.edu/courses/2163301	Distributed Algorithms and Optimization
https://bulletin.stanford.edu/courses/1033832	Applied Mathematics in the Chemical and Biological Sciences
https://bulletin.stanford.edu/courses/1045852	Optimization Algorithms
https://bulletin.stanford.edu/courses/2119271	Model Reduction
https://bulletin.stanford.edu/courses/2241381	The ABCs of TQC: An introduction to the mathematics of Topological Quantum Computing
https://bulletin.stanford.edu/courses/2066522	Convex Optimization I
https://bulletin.stanford.edu/courses/2066542	Convex Optimization II
https://bulletin.stanford.edu/courses/1050292	Computational Methods in Fluid Mechanics
https://bulletin.stanford.edu/courses/2151482	Computational Biology in Four Dimensions
https://bulletin.stanford.edu/courses/2151422	Applied Fourier Analysis and Elements of Modern Signal Processing
https://bulletin.stanford.edu/courses/2050411	Curricular Practical Training
https://bulletin.stanford.edu/courses/2248971	Ph.D. Research Rotation
https://bulletin.stanford.edu/courses/2128641	Special Research Topics in Computational and Mathematical Engineering
https://bulletin.stanford.edu/courses/2042941	Ph.D. Research
https://bulletin.stanford.edu/courses/2058211	Computational Consulting
https://bulletin.stanford.edu/courses/2042871	Departmental Seminar
https://bulletin.stanford.edu/courses/2075411	Linear Algebra and Optimization Seminar
https://bulletin.stanford.edu/courses/2050421	TGR Project
https://bulletin.stanford.edu/courses/2050431	TGR Dissertation
https://bulletin.stanford.edu/courses/2249122	WiDS Datathon Independent Study

 

Photo by Jason Leung on Unsplash